Projects in industries like water, defense, energy, and infrastructure face immense pressure to deliver. Budgets are tight, capacity is limited, and crucial expertise is retiring.

Starting a large asset project usually means setting up teams and processes from scratch, arranging permits, and handing it over to contractors. You waste time before the ground is even broken. 

Today, project success increasingly relies on information management. The more accurate, consistent, and reliable the data, the faster teams can move from one stage to the next.

Data standardization –  what is it actually?

We will keep it short; the key to faster project start is data standardization.

It means agreeing on how you describe, classify, and store asset data. From there, you apply that standard consistently across your organization. A pump is a pump. A valve is a valve. Everyone uses the exact same names, attributes, and structures.

Without that shared language, every new project starts with the same painful groundwork: aligning teams, resolving conflicting definitions, and rebuilding information from scratch. With it, you carry reusable knowledge from one project into the next.

How do I get started?

You don’t need to standardize everything at once, but building a solid foundation does take some upfront investment.

To help with that, we’ve put together three first steps to speed up your next project setup.

Step 1: Map what information you actually need

Look at each phase of your project lifecycle and define what information is critical at each stage.

•  What does the project team need?
•  What does the maintenance team rely on later? 

Defining this upfront avoids the common trap of collecting data that nobody uses, or missing data that everyone needs.

Step 2: Align on shared definitions

Once you know what information matters, you need everyone to agree on what things are called and how they are described. Engineering, operations, and IT need to speak the same language. If definitions vary between teams or contractors, inconsistencies will compound across the project, creating errors that are expensive to fix downstream. 

Step 3: Store definitions in a central, reusable place

The most scalable way to manage shared definitions is to store them in a structured library, such as an Object Type Library (OTL). This gives every team, tool, and contractor a single source of truth to work from. It makes your standards reusable across projects without requiring manual realignment every time.

Stop losing time before the project even begins!

The organizations that move fastest are not the ones with the largest teams. They rely on better systems and have stopped reinventing the wheel on every new project.

Ready to stop losing time before it even starts? Get in touch with our colleague Herman Hoekman here.